Adaptation of machining toolpath to distorted geometries: application to remove a constant thickness on rough casting prosthesis

被引:9
作者
Azzam, Noureddine [1 ,2 ]
Chaves-Jacob, Julien [2 ]
Boukebbab, Salim [3 ]
Linares, Jean-Marc [2 ]
机构
[1] Univ Constantine 1, Fac Sci & Technol, Dept Mech Engn, Constantine 25000, Algeria
[2] Aix Marseille Univ, CNRS, ISM UMR 7287, F-13288 Marseille 09, France
[3] Univ Constantine 1, Fac Sci & Technol, Dept Engn Transport, Constantine 25000, Algeria
关键词
Toolpath adaptation; Biomanufacturing; ICP algorithm; Five-axis machining; Toolpath smoothing; CLOSEST POINT ALGORITHM; RULED SURFACES; REGISTRATION; DEFORMATION; PERFORMANCE; INSPECTION; NC;
D O I
10.1007/s00170-014-5738-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study proposes a method to adapt the geometry of the toolpath to a specified target. In the case study presented, the geometrical target is to remove a constant thickness on the rough workpiece. This case is normally present in the polishing of the femoral component of knee prostheses. In fact, an operator carries out these operations manually. The aim of this study is to contribute to the automation of prosthesis production, notably, in the preparation of surface polishing. The proposed method can deform and adapt a toolpath to ensure the required geometry of the machined surface. The proposed toolpath deformation method is composed of three steps: alignment, toolpath deformation, and toolpath smoothing. Alignment between the measured surface of the roughcast prostheses and the nominal toolpath is carried out by an Iterative Closest Point (ICP) algorithm. The principle of this algorithm is to find the optimal rigid transformation to readjust the toolpath on the measured surface. Subsequently, the toolpath is deformed to remove the constant thickness of the roughcast prostheses. Next, to increase the machined quality, a smoothing stage is carried out on the obtained toolpath. Experimental tests on industrial prostheses geometry are conducted to validate the effectiveness of this method.
引用
收藏
页码:1073 / 1083
页数:11
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